Fifa19_webapp / README.md
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fifa19_streamlit
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A newer version of the Streamlit SDK is available: 1.44.1

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metadata
title: Fifa19 Player Recommendationbid Prediciton
emoji: πŸ‘€
colorFrom: gray
colorTo: pink
sdk: streamlit
sdk_version: 1.43.0
app_file: app.py
pinned: false
short_description: ML App

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

FIFA 19 Player Recommender

A Streamlit web application that recommends FIFA 19 players based on team and position preferences, and predicts their market value.

Setup

  1. Install requirements: pip install -r requirements.txt
  2. Run the app: streamlit run app.py

Data Files

Make sure all required pickle files are in the data directory:

  • newdf3.pkl
  • predictorsscale.pkl
  • newpredictors.pkl
  • train_predictors_val.pkl
  • newfifa.pkl
  • df3scaled.pkl
  • finalxbrmodel.pkl